DeepSeek unveils multimodal AI model that uses visual perception to compress text input

New release continues Chinese start-up’s efforts to raise AI models’ efficiency, while driving down the costs of building and ...
AV Network

Alfatron Electronic's 'Ideal Solution' for Distributing AV Signals over an IP Network

Looking for a 'ideal solution' for video walls or TV distribution in sports bars? Alfatron Electronics is now offering the ...
IEEE

Transforming Disability Into Ability: An Explainable Vision-to-Voice Image Captioning Framework Using Transformer Models and Edge Computing

Abstract: Image captioning is an emerging field at the intersection of computer vision and natural language processing (NLP). It has shown great potential to enhance accessibility by automatically ...
Frontiers

ClinVLA: an image-text retrieval method for promoting hospital diagnosis data analysis and patient health prediction

Medical visual-language alignment plays an important role in hospital diagnostic data analysis and patient health prediction. However, existing multimodal alignment models, such as CLIP, while ...
IEEE

3D-MVP: 3D Multiview Pretraining for Manipulation

Abstract: Recent works have shown that visual pretraining on ego-centric datasets using masked autoencoders (MAE) can improve generalization for downstream robotics tasks. However, these approaches ...
InfoQ

IBM Releases Granite-Docling-258M, a Compact Vision-Language Model for Precise Document Conversion

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
marktechpost

This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...